Adaptive Comb Filtering in Speech Enhancement by Spectral Subtraction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F07%3APU68869" target="_blank" >RIV/00216305:26220/07:PU68869 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adaptive Comb Filtering in Speech Enhancement by Spectral Subtraction
Original language description
An improvement of the classical single-channel speech enhancement technique by comb filtering is presented in the paper. The comb filter is adaptive and tuned by the estimated pitch frequency. It is constructed empirically in the frequency domain using two approaches and is applied in voiced frames only also in frequency domain. The pitch frequency is estimated from enhanced speech in the frequency domain too. As classical speech enhancement technique, which is used prior comb filtering, the minimum mean-square error log-spectral amplitude estimator was applied. The obtained enhancement of speech corrupted by different noise sources is evaluated and compared for configuration with and without comb filtering by informal listening tests and using signal-to-noise ratio.
Czech name
Adaptivní hřebenový filtr pro zvýrazňování řeči spektrální subtrakcí
Czech description
Hřebenový filtr je použit jako postprocessing klasické techniky pro zvýrazňování metodou spektrální subtrakce.
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1ET301710509" target="_blank" >1ET301710509: Sophisticated noise and defect suppression devices in speech communication and transmission for new generation mobile and cable networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Elektronische Sprachsignalverarbeitung
ISBN
978-3-940046-40-6
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
130-136
Publisher name
TUD press
Place of publication
Dresden
Event location
Cottbus
Event date
Sep 10, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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